GOQii Smart Vital Fitness SpO2, body temperature and blood pressure tracker

 GOQii Smart Vital Fitness SpO2, body temperature and blood pressure tracker ............................................................... Brand GOQii

Material Polyester Colour Black Compatible with Smartphones Display Size 1.3 Inches Product Dimensions 23.7 x 3.3 x 1.1 cm; 180 Grams

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GOQii Smart Vital is certified under 3 grades by the International Organization for Standardization (ISO). GOQii Smart Vital is also a registered medical tracker (CDSCO) & is much better and more accurate than any smart watch. Monitoring your body temperature & blood oxygen (SpO2) levels was never so easy as it is powered by intelligent technology. It has 24x7 heart monitoring and Auto Sleep tracking. You can also track all day activity like steps, distance, calories burned, active time & once again makes it better than any smart watch. GOQii smart vital comes with 1.3 inches colour display with full touch screen. It has multiple customize watch faces, find my phone, music control, stopwatch, timer, raise to wake, alarms, inactivity alerts It is IP68 Water/Dust resistant

Track your health goals by syncing the device to the GOQii app for in-depth analysis and get personalized recommendations from your health coach. Explore innumerable features within the app and make a positive shift to a healthier lifestyle.

Assured Data Security

If you have qualms about sharing your personal data recorded via the device, you can rest easy. GOQii believes in data for social good. Our goal is to to provide you with easy-to-incorporate lifestyle changes to improve your quality of life, and ultimately promote the longevity of the average Indian. We do this by using large, aggregated, anonymised data sets, from over millions of users, collected over a length of time, to generate health and fitness trends and insights. This information is compiled into a report, which we make publicly available. Since the data we collect is voluminous and anonymised, health data of any single individual cannot be inferred from the data sets. Our aim is to use the data we collect to understand motivation and identify the techniques which are most effective in motivating and incentivising healthy behaviours so that users can achieve health goals as quickly as possible, to identify the factors that are instrumental in cementing long-lasting, sustainable health habits, and finally, to predict, detect and prevent diseases before they occur.